CN105913222A - Intelligent business management method based on Internet big data - Google Patents
Intelligent business management method based on Internet big data Download PDFInfo
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- CN105913222A CN105913222A CN201610215637.1A CN201610215637A CN105913222A CN 105913222 A CN105913222 A CN 105913222A CN 201610215637 A CN201610215637 A CN 201610215637A CN 105913222 A CN105913222 A CN 105913222A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
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Abstract
The invention discloses an intelligent business management based on Internet big data, comprising steps of collecting data, generating client information, and assigning a salesman to take an order through a business center after data analysis. Through big data collection and abundant information analysis by cloud computing, the intelligent business management method can repeatedly filter to prevent client repetition, performs multi-condition fast query, shares cooperation between members, synchronizes data in real time, visualizes working schedule, improves working efficiency, prevents client loss, etc.
Description
Technical field
The invention mainly relates to a kind of business management method, particularly relate to a kind of IN service management method based on the big data in the Internet.
Background technology
During modern business development, it is required for paying close attention to the lifting of sales volume, sales volume promotes and be unable to do without business development, business development be unable to do without business personnel, regular traffic flow process needs business personnel to place an order from looking for customer data to visit to phone, and most enterprises can run into problems with: customer data searching work amount is big;Customer data each record between business personnel, it is impossible to synchronize, cannot collaborative work;The work progress of business personnel cannot be monitored by manager;After business personnel leaves office, customer churn is serious.
Nowadays modernization, the quickening of informatization paces, computer and personal mobile phone is widely available, makes operational control intellectuality obtain feasibility.
Summary of the invention
For solving the problems referred to above, a kind of IN service management methods based on the big data in the Internet, it comprises the following steps:
Step S101, gathers data and is saved in storage server;
Step S102, generates new customer data the information gathered by field designator;
Step S103, is saved in central database customer data standby;
Step S104, by central database information analysis, it is thus achieved that matching degree between client and business personnel;
Step S105, draws the matching degree of client and business personnel, business personnel's order that distribution matching degree is high according to step S104;
Step S106, after business personnel's order, entering step S107 locking client is order business personnel client, and other business personnels cannot order again;
Step S108, business personnel starts that client carries out visit and follows the tracks of work writing task notes until client places an order;When business personnel cannot obtain client place an order time, client can be unlocked, and return step S103, up-to-date customer data is saved in central database, and again can follow up by assigning the business personnel of higher level;As business personnel leaves office, then current business can be transferred back to step S106 and distribute to other business personnels.
Step S101, further comprising the steps of: to gather the big data of external the Internet, gather internal each terminal data.
Step S104, further comprising the steps of: customer analysis, business personnel's analysis, Comprehensive analysis, matching degree analysis.
The invention has the beneficial effects as follows by collecting managing customer data and arranging business personnel to work, realize resources sharing, repeat filtration and prevent from hitting condition express query objective, multiple, shared collaboration between member, real time data synchronization, allow job schedule visualize, improve work efficiency, prevent customer churn.
Accompanying drawing explanation
Fig. 1, the method flow diagram of a kind of IN service management methods based on the big data in the Internet.
Fig. 2, business personnel's classification figure of a kind of IN service management methods based on the big data in the Internet.
Fig. 3, client's classification figure of a kind of IN service management methods based on the big data in the Internet.
Detailed description of the invention
A kind of IN service management method based on the big data in the Internet, it mainly comprises the steps that
Step S101, gathers data and is saved in storage server;
Step S102, generates new customer data the information gathered by field designator;
Step S103, is saved in central database customer data standby;
Step S104, by central database information analysis, it is thus achieved that matching degree between client and business personnel;
Step S105, draws the matching degree of client and business personnel, business personnel's order that distribution matching degree is high according to step S104;
Step S106, after business personnel's order, entering step S107 locking client is order business personnel client, and other business personnels cannot order again;
Step S108, business personnel starts that client carries out visit and follows the tracks of work writing task notes until client places an order;When business personnel cannot obtain client place an order time, client can be unlocked, and return step S103, up-to-date customer data is saved in central database, and again can follow up by assigning the business personnel of higher level;As business personnel leaves office, then current business can be transferred back to step S106 and distribute to other business personnels.
Step S101, further comprising the steps of: to gather the big data of external the Internet, gather internal each terminal data.
Step S104, further comprising the steps of: customer analysis, business personnel's analysis, Comprehensive analysis, matching degree analysis, client can be divided, business personnel becomes 1-9 star.
The invention has the beneficial effects as follows by collecting managing customer data and arranging business personnel to work, realize resources sharing, repeat filtration and prevent from hitting condition express query objective, multiple, shared collaboration between member, real time data synchronization, allow job schedule visualize, improve work efficiency, prevent customer churn.
Embodiment described above only have expressed one embodiment of the present invention, and it describes more concrete and detailed, but therefore can not be interpreted as the restriction to the scope of the claims of the present invention.It should be pointed out that, for the person of ordinary skill of the art, without departing from the inventive concept of the premise, it is also possible to make some deformation and improvement, these broadly fall into protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.
Claims (3)
1. IN service management methods based on the big data in the Internet, its feature includes, it comprises the following steps:
Step S101, gathers data and is saved in storage server;
Step S102, generates new customer data the information gathered by field designator;
Step S103, is saved in central database customer data standby;
Step S104, by central database information analysis, it is thus achieved that matching degree between client and business personnel;
Step S105, draws the matching degree of client and business personnel, business personnel's order that distribution matching degree is high according to step S104;
Step S106, after business personnel's order, entering step S107 locking client is order business personnel client, and other business personnels cannot order again;
Step S108, business personnel starts that client carries out visit and follows the tracks of work writing task notes until client places an order;When business personnel cannot obtain client place an order time, client can be unlocked, and return step S103, up-to-date customer data is saved in central database, and again can follow up by assigning the business personnel of higher level;As business personnel leaves office, then current business can be transferred back to step S106 and distribute to other business personnels.
A kind of IN service management methods based on the big data in the Internet the most according to claim 1, its feature includes, described step S101 is further comprising the steps of: gathers the big data of external the Internet, gather internal each terminal data.
A kind of IN service management methods based on the big data in the Internet the most according to claim 1, its feature includes, described step S104 is further comprising the steps of: customer analysis, business personnel's analysis, Comprehensive analysis, matching degree analysis.
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CN201610215637.1A CN105913222A (en) | 2016-04-08 | 2016-04-08 | Intelligent business management method based on Internet big data |
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Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107093082A (en) * | 2017-04-21 | 2017-08-25 | 北京恒冠网络数据处理有限公司 | The Data Collection and management method of a kind of technical transaction platform |
CN107730217A (en) * | 2017-11-10 | 2018-02-23 | 上海申磊信息科技有限公司 | A kind of business model method of customer relation management |
CN107798451A (en) * | 2017-02-20 | 2018-03-13 | 平安科技(深圳)有限公司 | Business personnel's distribution method and device |
CN108053105A (en) * | 2017-12-06 | 2018-05-18 | 成都初唐网络科技股份有限公司 | Traveller's distribution method and device |
CN108053102A (en) * | 2017-12-04 | 2018-05-18 | 企客科技(广州)有限公司 | A kind of business progress control system based on internet |
CN108428145A (en) * | 2017-07-25 | 2018-08-21 | 平安科技(深圳)有限公司 | Electronic device, list recycling delivery method and computer readable storage medium |
CN108876630A (en) * | 2017-05-10 | 2018-11-23 | 平安科技(深圳)有限公司 | Insurance policy divides unirecord querying method, equipment and storage medium |
CN113487274A (en) * | 2021-06-22 | 2021-10-08 | 北京德风新征程科技有限公司 | Intelligent service management method based on Internet big data |
CN114819982A (en) * | 2021-01-29 | 2022-07-29 | 杭州畅学网络科技有限公司 | Management system and method for preventing resource loss of customers |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102542482A (en) * | 2010-12-08 | 2012-07-04 | 中国电信股份有限公司 | Communication business processing method, communication business processing system and management platform |
CN105225027A (en) * | 2015-08-26 | 2016-01-06 | 上海银天下科技有限公司 | Customer allocation method and system |
CN105427163A (en) * | 2015-12-09 | 2016-03-23 | 华夏银行股份有限公司 | Data control system |
-
2016
- 2016-04-08 CN CN201610215637.1A patent/CN105913222A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102542482A (en) * | 2010-12-08 | 2012-07-04 | 中国电信股份有限公司 | Communication business processing method, communication business processing system and management platform |
CN105225027A (en) * | 2015-08-26 | 2016-01-06 | 上海银天下科技有限公司 | Customer allocation method and system |
CN105427163A (en) * | 2015-12-09 | 2016-03-23 | 华夏银行股份有限公司 | Data control system |
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107798451A (en) * | 2017-02-20 | 2018-03-13 | 平安科技(深圳)有限公司 | Business personnel's distribution method and device |
CN107093082A (en) * | 2017-04-21 | 2017-08-25 | 北京恒冠网络数据处理有限公司 | The Data Collection and management method of a kind of technical transaction platform |
CN108876630A (en) * | 2017-05-10 | 2018-11-23 | 平安科技(深圳)有限公司 | Insurance policy divides unirecord querying method, equipment and storage medium |
CN108428145A (en) * | 2017-07-25 | 2018-08-21 | 平安科技(深圳)有限公司 | Electronic device, list recycling delivery method and computer readable storage medium |
WO2019019637A1 (en) * | 2017-07-25 | 2019-01-31 | 平安科技(深圳)有限公司 | Electronic apparatus, method for recycling and issuing list, and computer-readable storage medium |
CN107730217A (en) * | 2017-11-10 | 2018-02-23 | 上海申磊信息科技有限公司 | A kind of business model method of customer relation management |
CN108053102A (en) * | 2017-12-04 | 2018-05-18 | 企客科技(广州)有限公司 | A kind of business progress control system based on internet |
CN108053105A (en) * | 2017-12-06 | 2018-05-18 | 成都初唐网络科技股份有限公司 | Traveller's distribution method and device |
CN114819982A (en) * | 2021-01-29 | 2022-07-29 | 杭州畅学网络科技有限公司 | Management system and method for preventing resource loss of customers |
CN113487274A (en) * | 2021-06-22 | 2021-10-08 | 北京德风新征程科技有限公司 | Intelligent service management method based on Internet big data |
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Application publication date: 20160831 |